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Supreeth Prajwal Shashikumar

10PUBLICATIONS
10CO-AUTHORS
Deep learningComputational chemistryEmergency medicineReinforcement learningEpidemiological modelling
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Journal

Publications (10)

Sort by Publication Date:
|Dec 12, 2024
Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients.

Jonathan Y Lam, Xiaolei Lu, Supreeth P Shashikumar

|Sep 25, 2024
Development and validation of a deep learning algorithm for the prediction of serum creatinine in critically ill patients.

Ghodsieh Ghanbari, Jonathan Y Lam, Supreeth P Shashikumar

|Sep 24, 2024
The impact of laboratory data missingness on sepsis diagnosis timeliness.

Jonathan Y Lam, Aaron Boussina, Supreeth P Shashikumar

|Sep 20, 2024
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

Vishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra

|Jun 12, 2024
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival.

Aaron Boussina, Supreeth P Shashikumar, Atul Malhotra

|Jan 23, 2024
Impact of a deep learning sepsis prediction model on quality of care and survival.

Aaron Boussina, Supreeth P Shashikumar, Atul Malhotra

Pageof 2

Frequent Collaborators

6 joint publications

Aaron E Boussina

5 joint publications

Shamim Nemati

4 joint publications

Gabriel Wardi

3 joint publications

Christopher A Longhurst

2 joint publications

Robert L Owens

2 joint publications

Jonathan Y Lam

1 joint publications

Parker Rogers

1 joint publications

Christopher S Josef

1 joint publications

Atul Malhotra

1 joint publications

Kai Zheng

Frequent Collaborators

6 joint publications

Aaron E Boussina

5 joint publications

Shamim Nemati

4 joint publications

Gabriel Wardi

3 joint publications

Christopher A Longhurst

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